
ABUSE.MOM — BEHAVE OR GET EXPOSED
| Signature | Description | Points | Severity |
|---|---|---|---|
| Directory Scan | Behavioral anomaly detected by automated analysis | +0 |
Reconstructed HTTP requests from server access logs. Target domains redacted for security.
* Typical request patterns for detected signatures. Actual target domains are redacted.
We have detected 6569 malicious IPs from this autonomous system.
Add 104.234.32.107 to your firewall blocklist. Review logs for successful connections. Enable comprehensive logging on all public-facing services.
Other blocked IPs from the same /24 subnet — indicates systematic abuse from this network range.
This IP was checked against major DNS-based blacklists used by mail servers and firewalls worldwide.
Checked: Spamhaus, SpamCop, Barracuda, SORBS, CBL, UCEProtect. Results may change over time.
104.234.32.107 has been assigned a threat score of 100/100 (Critical). This represents a critical risk level. Our detection systems have flagged multiple high-confidence indicators of malicious intent from this address.
Our monitoring infrastructure has identified 104.234.32.107, geolocated to Chicago, United States, operating on the network of F.N.S. HOLDINGS LIMITED, as a source of suspicious network activity. Over a period of 18 days, this IP generated 787 malicious requests, averaging approximately 43.7 requests per day. United States currently accounts for 36,306 blocked IPs in our database, making it a major source of malicious traffic. A score of 100/100 places this address in the top tier of severity. Block and investigate any historical connections.
OSINT techniques leverage publicly available information for security research. DNS records, WHOIS data, certificate transparency logs, social media, and code repositories all provide valuable intelligence for threat analysis without requiring special access or tools.
BEC attacks use compromised or spoofed executive email accounts to request fraudulent wire transfers or sensitive data. These attacks cause billions in annual losses and rely on social engineering rather than technical exploitation.